| Newton's method - ClaudiusMaximus lecture on newton's method overlayed with newton's method fractal using opencv to extract image features and turn them into parameters for the fractal, using an opengl fragment shader for fractal rendering and compositing with source image. this is a derivative work of an excerpt from Lecture 13: Newton's method and other applications. MIT 18.01 Single Variable Calculus, Fall 2007 http://archive.org/details/MIT18.01JF07 Keywords: Newton's method; Lecture; Fractal; Remix Downloads: 70 | |

| Deriving Equation for Newton's Method - HTML - David Coneff an HTML file that embeds the online/uploaded Flash file of the screencast in this title. Keywords: screencast html deriving equation newton's method Downloads: 63 |

| Deriving Equation for Newton's Method - HTML - David Coneff HTML file that has embedded flash of screencast with this title minus the "- HTML". Keywords: html embedded flash screencast deriving equation newton's method Downloads: 28 | |

| Deriving Equation for Newton's Method - David Coneff Just a quick screencast I made demonstrating how to derive the equation used in Newton's Method for approximating roots. The narration isn't terribly good - I'm still using some verbal crutches - but I'm sure I will get better at this with time. I don't have the time right now to do more than a few takes, so I just did one revision for this. Keywords: screencast mathcast deriving derive equation newton newton's method calculus Downloads: 210 | |

| Simulation of an Austenite-twinned-Martensite interface (Volume 108) - Kearsley, A.J. Journal of Research of the National Institute of Standards and Technology Keywords: finite element method; Austenite-Martensite interface; quasi-Newton method Downloads: 82 | |

| MIT15.084JS04 - MIT OpenCourseWare This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods an... Keywords: unconstrained and constrained optimization; unconstrained and constrained optimization; Lagrangean relaxation; generalized programming; Newton's method; conditional gradient and subgradient optimization; linear and quadratic programming; lagrange and conic duality theory; interior-point algorithms and theory; semi-definite programming; Algorithmic methods include steepest descent; interior-point methods and penalty and barrier methods; 15.084J; 6.252J; 15.084; 6.252 Downloads: 19,735 | |